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Case Study: Building a North Star Operational Model for Engineering and IT
Allstacks is single source of truth of data for decision-making across IT and Engineering teams as our customer looks to modernize the way teams...
Case Study: Building a North Star Operational Model for Engineering and IT
Allstacks is single source of truth of data for decision-making across IT and Engineering teams as our customer looks to...
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Roadmap: Robust, Personalized Reporting Capabilities for All Product Stakeholders
We're rolling out new features that allow for greater personalization specific to each user’s role in the org and making it easier to standardize...
Stop Glamorizing Overwork and Prevent Software Engineer Burnout
Overcome the toxic trend of glamorizing developer overwork continues to define tech culture and is a leading factor of software engineer burnout.
A Female Engineering Leader's Guide to Growing Software Teams
Engineering Team Lead, Lisa Scheibner shares her personal operating principles for growing great software teams and products for more gratifying...
Aligning Our Brand to Put Relationships First in Software Delivery
Allstacks is aligning our brand to the promise of making the entire value stream more reliable, collaborative, strategic, and gratifying with every...
Engineering Metric: Use Commit Size to identify risky code
Along with Commit Frequency and Commit Volume, Commit Size is the final basic metric around the number of lines of code a developer creates.
The people who don’t think they need Allstacks.
We want to squash your concerns before you have them so read on to learn the most common objections — or objectors we’ve met.
Stop scrubbing Jira to understand engineering performance
Reporting from Jira has a less than stellar reputation which makes keeping software projects on track difficult.
4 Reports for Results-Driven Software Delivery
Can you answer, Was this release successful? and Did we make the right investment? Probably not. Allstacks has 4 out-of-the-box software delivery...
How High-Performance Engineering Teams Improve Software Delivery
High-performance engineering teams harness and learn from the chaos to more effectively manage teams and anticipate risks using the data available to...
4 Common Pitfalls to Avoid When Tracking Engineering KPIs
Avoid common pitfalls when creating outcomes-based engineering KPIs: track outcomes, prioritize goals, ensure processes don't hinder KPI attainment,...
Allstacks Takes Lead in 3 major G2 Crowd Fall 2020 Reports
Allstacks achieves high customer satisfaction scores for its ability to deliver business intelligence and exceptional customer service on G2 Crowd.
Happy, Productive Engineering & Product Teams [Panel]
Engineering and product leaders share their expertise building connected, productive, and motivated teams to support the growth and retention of...
Accurately Predicting Software Delivery (Part 2 of 4)
This series explores how Allstacks is accurately predicting completion times for software delivery.
ClearDATA Shares Engineering Productivity Success Story During Pandemic
ClearDATA shares how they maintained consistent software engineering productivity despite the pandemic and continuously delivered customer value.
Expert Tips on Leading Remote Software Development Teams
Are you changing your work practices due to recent health concerns? Read our expert tips to help you manage your remote product and software teams.
Accurately Predicting Software Delivery (Part 1 of 2)
High-performing engineering teams deliver what was promised — when it was promised. Forecasting helps leaders minimize surprises and reliably deliver.
CIO Top Investment Priorities - Upgrades and Continuity
We talk about two more investment priorities of CIO’s: upgrades and continuity and how Allstacks can help leaders manage both to meet their goals.
DevOps Benchmarking: You Can’t Manage What You Can’t Measure
Most apps start small. Small is nice. Small is simple. Remember when your applications were small and nice and simple and… manageable?
Identifying when an issue fails a checkpoint using machine learning
It’s difficult to understand all of the states in a team's process so defining what makes an issue a “failure” is not very clear, and hard to...
Engineering Metrics: Commit Volume
The single most talked about developer metric is Lines of Code along with eyerolling. Here's why you should still be looking at Commit Volume.
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